Senior Analytics Engineer, Finance
HarveyVisit Harvey website
Harvey is an AI platform for legal and professional-services organizations.
Series F+Recently funded
Distributed
About Harvey
Harvey provides agents and collaborative tools for legal work, including legal research, document analysis, secure workspaces, contract intelligence, and organization-level analytics.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will partner with Finance to build the financial data foundation. You will design dbt models and pipelines, implement a semantic layer standardizing financial and operating metrics, deliver dashboards for metrics such as ARR and NRR, set data modeling standards, and lead data governance.
Requirements
- 5+ years in Analytics Engineering, Data Engineering, Data Science or similar
- Deep expertise in SQL, dbt, Python, Snowflake
- Experience with modern BI tools such as Looker or Omni
- Skilled at defining financial and operating metrics
- Familiarity with GitHub, CI/CD and modern development workflows
- Strong communication skills
- Experience modeling financial, billing, subscription, CRM or usage-based revenue data
- Understanding of ARR, MRR, churn, retention, bookings, billings and revenue recognition
Responsibilities
- Design and build scalable data models and pipelines using dbt
- Define and implement a semantic layer (LookML/Omni/other) standardizing financial and operating metrics
- Deliver dashboards and analytical tools surfacing business health metrics such as ARR and NRR
- Establish data modeling standards and best practices
- Lead data governance initiatives
- Structure financial metric definitions to support AI-assisted reporting, natural language analytics and anomaly detection
Benefits
- Equity
